Forecast Forward:
‍Time series forecasting webinar series

Time series forecasting is critical for businesses aiming to stay ahead of business fluctuations and external factors like weather or market shifts. This is true for demand and supply management, product planning, cash management or workforce optimization. This session will dive into best practices and innovative approaches for time series forecasting, followed by a demo showcasing how Ikigai’s probabilistic models and AI-driven insights enhance forecasting. We’ll end with an interactive Q&A.

Focus Topics:

• Addressing seasonality, trends, and external factors with advanced models
• Best practices for time series forecasting
• Using multiple data sources for more accurate real-time forecasts
  

Not all AI models are created equal—understanding which model best fits your data is key to success. In this session, we’ll explore the differences between LLMs, Large Graphical Models (LGM), and when to use each for structured data tasks like forecasting, model complex environments and conduct scenario analysis. We’ll demonstrate how Ikigai fits into these requirements, followed by a discussion on applying the right model to your business challenges.

Focus Topics:

• LLMs vs. other AI models for structured data
• How to choose the right model for forecasting and business planning
  

Time series forecasting is about more than just historical patterns. Incorporating external data sources and AI-driven techniques like anomaly detection can significantly enhance forecasting accuracy. In this interactive session, we’ll explore how advanced methods improve forecast precision, with a demo from Ikigai to showcase how these techniques are automated. A Q&A session will follow to explore your unique challenges.

Focus Topics:

• Integrating external data into time series models for better accuracy
• Improving forecasts with anomaly detection and change point detection
• Explainable AI to foster trust in business forecasts
  

n today’s fast-moving environment, effective business planning requires analyzing trade-offs and adjusting strategies in real time. In this session, we’ll explore how AI-driven scenario forecasting helps optimize business decisions, balance objectives, and improve resilience. We’ll demo Ikigai’s scenario planning tools and discuss how to apply these concepts to your business in the Q&A session.

Focus Topics:

• Optimizing business plans with AI-driven scenario forecasting
• Balancing trade-offs like cost efficiency and demand fulfillment
• Using real-time data to adapt to changing business environments
  

Launching a new product without much historical data can be challenging. In this session, we’ll explore techniques to improve forecasts for new products using AI and time transformation models like Time2Vec. We’ll show how Ikigai applies these techniques to enable better decision-making with sparse data, followed by an interactive Q&A to address your business needs.

Focus Topics:

• Handling limited data for new product forecasting
• Using AI techniques to transform time-related features for better predictions